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基于Hilbert变换及间歇混沌的水声微弱信号检测方法研究
引用本文:陈志光,李亚安,陈晓.基于Hilbert变换及间歇混沌的水声微弱信号检测方法研究[J].物理学报,2015,64(20):200502-200502.
作者姓名:陈志光  李亚安  陈晓
作者单位:西北工业大学航海学院, 西安 710012
基金项目:国家自然科学基金(批准号: 51179157, 51409214, 11574250)资助的课题.
摘    要:利用Duffing振 子从混沌到间歇混沌的相变及其对策动力和待检测信号频差较小的周期信号的敏感性, 研究了强海洋背景噪声下微弱周期信号的检测. 通过构造混沌振子列的方法对频率未知信号进行扫频, 从而提取待检测信号的频率范围, 最后利用希尔伯特变换, 实现对间歇混沌的包络检测, 并计算出待检测信号的频率. 计算机仿真与实测水声信号处理结果表明, 利用基于希尔伯特变换的间歇混沌振子对水声微弱信号检测, 其检测信噪比比一般的间歇混沌振子提高了至少4.4 dB, 验证了所提方法的有效性.

关 键 词:Duffing振子  间歇混沌  Hilbert变换  包络检测
收稿时间:2015-01-28

Underwater acoustic weak signal detection based on Hilbert transform and intermittent chaos
Chen Zhi-Guang,Li Ya-An,Chen Xiao.Underwater acoustic weak signal detection based on Hilbert transform and intermittent chaos[J].Acta Physica Sinica,2015,64(20):200502-200502.
Authors:Chen Zhi-Guang  Li Ya-An  Chen Xiao
Institution:School of Marine, Northwestern Polytechnical University, Xi'an 710012, China
Abstract:In the paper, we analyse the basic dynamical model of the chaotic oscillator by using the theory of intermittent chaos to construct the column of the intermittent chaos, and present an effective method to detect the weak underwater acoustic signal with an unknown frequency. Duffing oscillator is sensitive to phase transformation from chaos to intermittent chaos, whose frequency difference is slightly different from that between the driving force signal and the signal to be detected. By employing this theory, we detect the frequency of the ship signal in ocean background noise. For the detection by using the intermittent chaos, there exists no effective way to estimate the frequency of the signal to be detected, which can only be judged by empirical methods and therefore the man-made error will exist. All of these will affect the consequence of the intermittent chaos and make the practical application difficult. To solve this problem, in this paper, we first study the basic theory of the chaotic system, then construct the simulated signal to examine the system, and finally detect the ship signal. To make the detection feasible, a chaotic oscillator column is considered to sweep through the unknown frequency of the signal. By using this method, we can obtain the frequency range. Finally Hilbert transform is used to detect the envelope of the intermittent chaos followed by measuring the frequency of the envelope through using Fourier spectrum. Thus the frequency of the signal can be calculated by using the function describing the relationship among the driving force signal, ship signal and the envelope. The simulations and the detection processing of the measured acoustic signal are carried out by using the proposed method, which can effectively detect the frequency of the ship signal embedded within strong background noise and also the frequency of the signal to be detected can be calculated, which is conducive to solving the presently existing problem about frequency estimation. Signal-to-noise ratio can be enhanced by 4.4 dB based on the method by using the Hilbert transform compared with by using the method just through using an intermittent chaotic oscillator column, which verifies the effectiveness of the method in this paper.
Keywords:Duffing oscillator  intermittent chaos  Hilbert transform  envelope detection
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